Words used in text-mining research carry bias, study finds

"The word lists packaged and shared amongst researchers to measure for bias in online texts often carry words, or “seeds,” with baked-in biases and stereotypes, which could skew their findings, new Cornell research finds." (Louis DiPietro, Cornell Chronicle, October 28, 2021, https://news.cornell.edu/stories/2021/10/words-used-text-mining-research-carry-bias-study-...)

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